Domain adaptive sparse representation-based classification

Heng Zhang, Vishal M. Patel, Sumit Shekhar, Rama Chellappa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

25 Scopus citations

Abstract

In recent years, sparse representation and dictionary learning methods have produced state-of-the-art results in many biometric recognition problems such as face, gait and iris recognition. However, when sparse representation-based classification methods are confronted with situations where the training data has different distribution than the test data, their performance degrades significantly. In this paper, we propose a general sparse representation-based classification method that learns projections of data in a space where the sparsity of data is maintained. We propose an efficient iterative procedure for solving the proposed optimization problem. One of the key features of the proposed method is that it is computationally efficient as the learning is done in the lower-dimensional space. Various experiments on mobile active authentication datasets consisting of face and screen touch gestures show that our method is able to capture the meaningful structure of data and can perform significantly better than many competitive domain adaptation algorithms.

Original languageEnglish (US)
Title of host publication2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479960262
DOIs
StatePublished - Jul 17 2015
Event11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2015 - Ljubljana, Slovenia
Duration: May 4 2015May 8 2015

Publication series

Name2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2015

Other

Other11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2015
Country/TerritorySlovenia
CityLjubljana
Period5/4/155/8/15

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

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